深度学习论文: Q-YOLO: Efficient Inference for Real-time Object Detection及其PyTorch实现 - 代码天地

深度学习论文: Q-YOLO: Efficient Inference for Real-time Object Detection及其PyTorch实现

企业开发 2023-07-28 18:26:17 阅读次数: 0

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转载自blog.csdn.net/shanglianlm/article/details/131916581

深度学习论文: Q-YOLO: Efficient Inference for Real-time Object Detection及其PyTorch实现

YOLO： Real-Time Object Detection解读

深度学习论文: YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection

You Only Look Once: Unified, Real-Time Object Detection （YOLO 论文翻译）

YOLO_v1论文详解You Only Look Once,Unified, Real-Time Object Detection

You Only Look Once: Unified, Real-Time Object Detection（YOLO论文中英同步翻译）

YOLO: Real-Time Object Detection（实时目标检测）

DAMO-YOLO : A Report on Real-Time Object Detection Design

论文解读：DETRs Beat YOLOs on Real-time Object Detection

DETRs Beat YOLOs on Real-time Object Detection论文详解

YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection(论文学习笔记)

【论文阅读笔记】YOLO v1——You Only Look Once: Unified, Real-Time Object Detection

深度学习论文: Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism及其PyTorch实现

pelee real-time object detection

论文学习记录：You Only Look Once:Uniﬁed, Real-Time Object Detection

[论文学习]《Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 》

论文学习笔记（七）Pelee: A Real-Time Object Detection System on Mobile Devices

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RT-DETR论文学习笔记（DETRs Beat YOLOs on Real-time Object Detection）

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